Closed Stephanie-P-Ball closed 1 year ago
While creating the tasks for this story, I was thinking of evaluation methods normally used for other models such as logistic regression. After trying them on the Linear Regression model, I found they do not perform well, or at all, in evaluating the accuracy of this model. Instead, I was able to get the MSE (Mean Square Error), MAE (Mean Absolute Error), and R-squared score. Using this, it appears the folding train-test split is the most accurate. However, it is still not great. I believe we should continue looking at different models to find one more accurate.
As a developer, I want to evaluate our models, so that I can determine how accurate it is
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Tasks